Activity-dependent recruitment of inhibition and excitation in the awake mammalian cortex during electrical stimulation

Neuron, Journal Year: 2023, Volume and Issue: 112(5), P. 821 - 834.e4

Published: Dec. 21, 2023

Language: Английский

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Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys

Neuron, Journal Year: 2023, Volume and Issue: 111(24), P. 4102 - 4115.e9

Published: Oct. 20, 2023

Language: Английский

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Distributing task-related neural activity across a cortical network through task-independent connections

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: May 18, 2023

Abstract Task-related neural activity is widespread across populations of neurons during goal-directed behaviors. However, little known about the synaptic reorganization and circuit mechanisms that lead to broad changes. Here we trained a subset in spiking network with strong interactions reproduce motor cortex decision-making task. activity, resembling data, emerged network, even untrained neurons. Analysis networks showed synapses, which were independent task determined dynamical state mediated spread task-related activity. Optogenetic perturbations suggest strongly-coupled, supporting applicability mechanism cortical networks. Our results reveal facilitates distributed representations task-variables by spreading from plastic entire through task-independent synapses.

Language: Английский

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Analysis methods for large-scale neuronal recordings

Science, Journal Year: 2024, Volume and Issue: 386(6722)

Published: Nov. 7, 2024

Simultaneous recordings from hundreds or thousands of neurons are becoming routine because innovations in instrumentation, molecular tools, and data processing software. Such can be analyzed with science methods, but it is not immediately clear what methods to use how adapt them for neuroscience applications. We review, categorize, illustrate diverse analysis neural population describe these have been used make progress on longstanding questions neuroscience. review a variety approaches, ranging the mathematically simple complex, exploratory hypothesis-driven, recently developed more established methods. also some common statistical pitfalls analyzing large-scale data.

Language: Английский

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Bicistronic Expression of a High-Performance Calcium Indicator and Opsin for All-Optical Stimulation and Imaging at Cellular Resolution

eNeuro, Journal Year: 2023, Volume and Issue: 10(3), P. ENEURO.0378 - 22.2023

Published: March 1, 2023

Abstract State-of-the-art all-optical systems promise unprecedented access to neural activity in vivo , using multiphoton optogenetics allow simultaneous imaging and control of selected neurons at cellular resolution. However, achieve wide use stimulation imaging, simple strategies are needed robustly stably express opsins indicators the same cells. Here, we describe a bicistronic adeno-associated virus (AAV) that expresses both fast bright calcium indicator jGCaMP8s, soma-targeted (st) two-photon-activatable opsin, ChrimsonR. With this method, stChrimsonR with two-photon holography visual cortex mice drives robust spiking targeted cells, responses sensory stimuli spontaneous strong stable. Cells expressing construct show photostimulation similar measured from cells opsin via separate viruses. This approach is way prepare for imaging.

Language: Английский

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Learning in a sensory cortical microstimulation task is associated with elevated representational stability

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: June 29, 2023

Abstract Sensory cortical representations can be highly dynamic, raising the question of how representational stability impacts learning. We train mice to discriminate number photostimulation pulses delivered opsin-expressing pyramidal neurons in layer 2/3 primary vibrissal somatosensory cortex. simultaneously track evoked neural activity across learning using volumetric two-photon calcium imaging. In well-trained animals, trial-to-trial fluctuations amount photostimulus-evoked predicted animal choice. Population levels declined rapidly training, with most active showing largest declines responsiveness. Mice learned at varied rates, some failing learn task time provided. The photoresponsive population showed greater instability both within and behavioral sessions among animals that failed learn. Animals also exhibited a faster deterioration stimulus decoding. Thus, response is associated sensory microstimulation task.

Language: Английский

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Brain-machine interface learning is facilitated by specific patterning of distributed cortical feedback

Science Advances, Journal Year: 2023, Volume and Issue: 9(38)

Published: Sept. 22, 2023

Neuroprosthetics offer great hope for motor-impaired patients. One obstacle is that fine motor control requires near-instantaneous, rich somatosensory feedback. Such distributed feedback may be recreated in a brain-machine interface using artificial stimulation across the cortical surface. Here, we hypothesized neuronal must contiguous its spatiotemporal dynamics to efficiently integrated by sensorimotor circuits. Using closed-loop interface, trained head-fixed mice virtual cursor modulating activity of cortex neurons. We provided real time with optogenetic patterns primary cortex. Mice developed specific strategy and succeeded learn task only when pattern was spatially temporally while it moved topography These results reveal properties integration set constraints on design neuroprosthetics.

Language: Английский

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Visual cortex: How mice learn to detect entirely novel inputs

Current Biology, Journal Year: 2023, Volume and Issue: 33(11), P. R449 - R452

Published: June 1, 2023

Language: Английский

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